Method for evaluating sewage pipe network collection energy efficiency

Abstract

This invention discloses a method for evaluating the energy efficiency of sewage pipe network collection, comprising the following steps: 1. Calculating the regional sewage collection rate I_A1, the water quality of the sewage pumping station during dry weather I_A2, the proportion of external water during dry weather I_B1, the increase ratio of sewage pumping station flow during rainy weather I_B2, the COD concentration discharged from the rainwater pumping station I_B3, and the density of structural defects I_C1 for the sewage pipe network to be evaluated; 2. Scoring; 3. Multiplying the scores by their respective weights and summing them to obtain the collection status index S_A, the external water intrusion index S_B, and the pipe network defect index S_C; 4. Calculating the comprehensive energy efficiency index SCEI of the sewage pipe network collection based on the collection status index S_A, the external water intrusion index S_B, and the pipe network defect index S_C; 5. Obtaining the energy efficiency evaluation level based on the comprehensive energy efficiency index SCEI of the sewage pipe network collection. This invention provides a more comprehensive and scientific quantification and evaluation of the sewage collection, pollutant transport, and system operational health of the sewage pipe network.

Description

Technical Field

[0001] This invention relates to the field of sewage pipe network operation and maintenance management technology, and in particular to a method for evaluating the energy efficiency of sewage pipe network collection. Background Technology

[0002] Wastewater pipe networks are a key infrastructure for urban water environment management, and their collection and transportation efficiency directly affects the operating efficiency of wastewater treatment plants and the quality of the water environment.

[0003] Currently, existing wastewater pipe network energy efficiency evaluation methods mostly focus on single indicators (such as wastewater collection rate), lack comprehensive consideration of multiple dimensions of pipe network operation, and the allocation of indicator weights is highly subjective, resulting in evaluation results that are not comprehensive or scientific enough to effectively support pipe network optimization and operation and maintenance decisions.

[0004] Therefore, how to solve the problems of single indicators and unscientific weight allocation in existing evaluation methods, and how to achieve a more comprehensive and scientific quantitative evaluation of the energy efficiency of sewage pipe networks, has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of the above-mentioned deficiencies of the prior art, the present invention provides a method for evaluating the energy efficiency of sewage pipe network collection, with the aim of more comprehensively and scientifically quantifying and evaluating the sewage collection, pollutant transportation, and system health of the sewage pipe network.

[0006] To achieve the above objectives, this invention discloses a method for evaluating the energy efficiency of sewage pipe network collection, comprising the following steps:

[0007] Step 1: Calculate the regional sewage collection rate I_A1, the water quality of the sewage pumping station in dry weather I_A2, the proportion of external water in dry weather I_B1, the increase ratio of sewage pumping station flow in rainy weather I_B2, the COD concentration of rainwater pumping station discharged into the river I_B3, and the density of structural defects I_C1 for the sewage network to be evaluated.

[0008] Step 2: Scoring is performed based on the values ​​of the regional sewage collection rate I_A1, the water quality of the sewage pumping station during dry weather I_A2, the proportion of external water during dry weather I_B1, the increase ratio of sewage pumping station flow during rainy weather I_B2, the COD concentration of rainwater pumping station discharge into the river I_B3, and the density of structural defects I_C1.

[0009] The following scores are obtained: the regional sewage collection rate I_A1 score S_A1, the dry-day sewage pumping station water quality score I_A2 score S_A2, the dry-day external water ratio score I_B1 score S_B1, the sewage pumping station rainy-day flow increment ratio score S_B2, the rainwater pumping station discharge COD concentration score I_B3 score S_B3, and the structural defect density score S_C1.

[0010] Step 3: Multiply the score S_A1 of the regional sewage collection rate I_A1 and the score S_A2 of the dry weather sewage pumping station water quality I_A2 by the corresponding weights and add them together to obtain the collection status index S_A;

[0011] The external water intrusion index S_B is obtained by multiplying the score value S_B1 of the dry day external water ratio I_B1, the score value S_B2 of the sewage pumping station rainy day flow increment ratio I_B2, and the score value S_B3 of the rainwater pumping station discharge COD concentration I_B3 by the corresponding weights and adding them together.

[0012] The score S_C1 of the structural defect density I_C1 is multiplied by the corresponding weight to obtain the pipeline defect index S_C;

[0013] Step 4: Multiply the collection status index S_A, the external water intrusion index S_B, and the pipeline defect index S_C by their respective weights and add them together to obtain the comprehensive energy efficiency index SCEI of the sewage pipeline network collection.

[0014] Step 5: Based on the Sewage Network Collection Energy Efficiency Comprehensive Index (SCEI), form the energy efficiency evaluation level of the sewage network to be evaluated.

[0015] Preferably, in steps 1 and 2, the regional wastewater collection rate I_A1 = (regional transfer facility flow rate / regional water sales volume) / [(PE-COD / SCWC) / CODin]; where PE-COD is the per capita pollutant discharge, SCWC is the per capita comprehensive water consumption, and CODin is the COD concentration of the transfer facility;

[0016] When the wastewater collection rate I_A1 in the area is ≥0.98, the score S_A1 is 100 points;

[0017] When 0.85 ≤ the wastewater collection rate I_A1 < 0.98, the score S_A1 is 60 + [(I_A1 - 0.85) / (0.98 - 0.85)] × 40;

[0018] When 0.7 ≤ the wastewater collection rate I_A1 < 0.85, the score S_A1 is 0 + [(I_A1 - 0.7) / (0.85 - 0.7)] × 60;

[0019] When the wastewater collection rate I_A1 in the area is less than 0.7, the score S_A1 is 0.

[0020] Preferably, in steps 1 and 2, the water quality score S_A2 of the dry-weather sewage pumping station is obtained using the following method:

[0021] The research calculation method is adopted, as follows:

[0022] The dry-weather sewage pumping station water quality I_A2 = pumping station water quality sampling data / pumping station water quality simulation data;

[0023] When the water quality I_A2 of the sewage pumping station in dry weather is ≥0.9, the score S_A2 is 100 points;

[0024] When 0.8 ≤ the water quality I_A2 of the dry-weather sewage pumping station < 0.9, the scoring value S_A2 is 60 + [(I_A2 - 0.8) / (0.9 - 0.8)] × 40;

[0025] When 0.6 ≤ the water quality I_A2 of the dry-weather sewage pumping station < 0.8, the scoring value S_A2 is 0 + [(I_A2 - 0.6) / (0.8 - 0.6)] × 60;

[0026] When the water quality I_A2 of the sewage pumping station during dry weather is <0.6, the scoring value S_A2 is 0 points;

[0027] Alternatively, a hierarchical classification method can be used, as follows:

[0028] When the water quality I_A2 of the dry weather sewage pumping station is ≥350mg / L, the scoring value S_A2 is 100 points;

[0029] When 200 ≤ the water quality I_A2 of the dry weather sewage pumping station is < 350 mg / L, the scoring value S_A2 is 60 + [(I_A2-200) / (350-200)] × 40;

[0030] When 100 ≤ the water quality I_A2 of the dry weather sewage pumping station is < 200 mg / L, the scoring value S_A2 is 0 + [(I_A2-100) / (200-100)] × 60;

[0031] When the water quality I_A2 of the sewage pumping station during dry weather is <100mg / L, the scoring value S_A2 is 0 points.

[0032] Preferably, in steps 1 and 2, the proportion of external water during dry weather I_B1 = (flow rate of regional transfer facilities during dry weather - amount of raw sewage in the region) / amount of raw sewage in the region;

[0033] When the proportion of external water in dry weather I_B1 ≤ 0.1, the score S_B1 is 100 points;

[0034] When 0.1 < the proportion of external water in dry weather I_B1 ≤ 0.5, the score S_B1 is 60 + [(0.5 - I_B1) / (0.5 - 0.1)] × 40;

[0035] When 0.5 < the proportion of external water in dry weather I_B1 ≤ 1, the score S_B1 is 0 + [(1-I_B1) / (1-0.5)] × 60;

[0036] When the proportion of external water in dry weather is greater than 1 (I_B1 > 1), the score S_B1 is 0.

[0037] Preferably, in steps 1 and 2, the sewage pumping station's rainy day flow increment ratio I_B2 = (rainy day regional transfer facility flow / dry day regional transfer facility flow) - 1;

[0038] When the ratio of the increase in flow rate during rainy days at the sewage pumping station is I_B2≤0.1, the score S_B2 is 100 points;

[0039] When 0.1 < the rainy day flow increment ratio I_B2 of the sewage pumping station is ≤0.3, the score S_B2 is 60 + [(0.3-I_B2) / (0.3-0.1)] × 40;

[0040] When the ratio of the sewage pumping station's rainy day flow increment I_B2 ≤ 0.4, the score S_B2 is 0 + [(0.4 - I_B2) / (0.4 - 0.3)] × 60;

[0041] When the rainy day flow increment ratio I_B2 of the sewage pumping station is greater than 0.4, the score S_B2 is 0 points.

[0042] Preferably, in steps 1 and 2, the scoring value S_B3 of the COD concentration I_B3 discharged from the rainwater pumping station is as follows:

[0043] When the COD concentration I_B3 discharged from the rainwater pumping station into the river is ≤20mg / L, the scoring value S_B3 is 100 points.

[0044] When the COD concentration I_B3 discharged from the rainwater pumping station is ≤30mg / L, the score S_B3 is 60+[(I_B3-20) / (30-20)]×40.

[0045] When the COD concentration I_B3 discharged from the rainwater pumping station is ≤40 mg / L, the score S_B3 is 0 + [(I_B3-30) / (40-30)] × 60.

[0046] When the COD concentration I_B3 in the rainwater pumping station discharged into the river is greater than 40 mg / L, the score S_B3 is 0 points.

[0047] Preferably, in steps 1 and 2, the structural defect density I_C1 = number of Class III or IV structural defects / length of the inspected pipeline (locations / km).

[0048] When 0 ≤ the structural defect density I_C1 < 2, the score S_C1 is 100 - [(I_C1 / 2) × 40].

[0049] When 2 ≤ the structural defect density I_C1 < 10, the score S_C1 is 60 - [(I_C1 - 2) / (10 - 2)] × 60.

[0050] When the structural defect density I_C1 ≥ 10, the score S_C1 is 0.

[0051] Preferably, in step 3, the score S_A1 of the regional sewage collection rate I_A1 has a weight of 0.7 in the collection status index S_A.

[0052] The water quality score S_A2 of the dry weather sewage pumping station has a weight of 0.4 in the collection status index S_A.

[0053] The score S_B1 for the proportion of external water in dry weather I_B1 has a weight of 0.3 in the external water intrusion index S_B.

[0054] The score S_B2 of the sewage pumping station's rainy day flow increment ratio I_B2 has a weight of 0.3 in the external water intrusion index S_B.

[0055] The score S_B3 of the COD concentration I_B3 discharged from the rainwater pumping station has a weight of 0.4 in the external water intrusion index S_B.

[0056] The score S_C1 of the structural defect density I_C1 has a weight of 1 in the pipeline defect index S_C.

[0057] Preferably, in step 4, the weights of the collection status index S_A, the external water intrusion index S_B, and the pipeline defect index S_C are all calculated using the sum-product method based on the criterion layer judgment matrix.

[0058] Furthermore, the weights of the collection status index S_A, the external water intrusion index S_B, and the pipeline defect index S_C meet the requirements after consistency verification.

[0059] Preferably, in step 5, the standard for forming the energy efficiency evaluation level of the wastewater pipe network to be evaluated based on the Sewage Pipe Network Collection Energy Efficiency Index (SCEI) is as follows:

[0060] If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is ≥90, then the sewage pipe network is a Class I high-efficiency system.

[0061] If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is 80 ≤ SCEI < 90, then the sewage pipe network is a Class II normal system.

[0062] If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is 60 ≤ SCEI < 80, then the sewage pipe network is a Class III inefficient system.

[0063] If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is less than 60, then the sewage pipe network is a Class IV failure system.

[0064] The beneficial effects of this invention are:

[0065] The indicator system of this invention is comprehensive, covering three core dimensions: collection status, external water intrusion, and pipeline defects, thus avoiding the limitations of evaluation by a single indicator.

[0066] This invention employs a scientific weight allocation method: combining the analytic hierarchy process (AHP) with consistency checks to reduce the subjectivity of weight allocation and improve the credibility of evaluation results.

[0067] The calculation method of this invention is operable: the calculation formulas for each indicator are clear, the required data can be easily obtained through pipeline operation monitoring, CCTV detection, etc., and it is applicable to areas of different scales.

[0068] The evaluation results of this invention are practical: through SCEI and level classification, the energy efficiency level of the pipeline network is intuitively reflected, providing an accurate basis for pipeline network repair and operation and maintenance optimization.

[0069] This invention can be widely applied to the energy efficiency evaluation of urban sewage collection systems, and can provide scientific support for pipeline operation and maintenance management, upgrading and transformation.

[0070] The following will further explain the concept, specific structure, and technical effects of the present invention in conjunction with the accompanying drawings, so as to fully understand the purpose, features, and effects of the present invention. Attached Figure Description

[0071] Figure 1 A flowchart of an embodiment of the present invention is shown.

[0072] Figure 2 This diagram illustrates a three-level evaluation system in one embodiment of the present invention. Detailed Implementation

[0073] Example 1: As Figure 1 As shown, a method for evaluating the energy efficiency of wastewater pipe network collection is proposed with an annual analysis period, including the following steps:

[0074] Step 1: Calculate the regional sewage collection rate I_A1, the water quality of the sewage pumping station in dry weather I_A2, the proportion of external water in dry weather I_B1, the increase ratio of sewage pumping station flow in rainy weather I_B2, the COD concentration of rainwater pumping station discharged into the river I_B3, and the density of structural defects I_C1 for the sewage network to be evaluated.

[0075] Step 2: Score the wastewater based on the following values: regional wastewater collection rate I_A1, wastewater pumping station water quality during dry weather I_A2, proportion of external water during dry weather I_B1, wastewater pumping station flow increase ratio during rainy weather I_B2, COD concentration discharged from rainwater pumping stations into the river I_B3, and structural defect density I_C1.

[0076] The following scores were obtained: regional sewage collection rate I_A1, water quality of sewage pumping stations during dry weather I_A2, proportion of external water during dry weather I_B1, flow increment ratio of sewage pumping stations during rainy weather I_B2, COD concentration of rainwater pumping stations discharged into the river I_B3, and structural defect density I_C1.

[0077] Step 3: Multiply the score S_A1 of the regional sewage collection rate I_A1 and the score S_A2 of the sewage pumping station water quality I_A2 in dry weather by the corresponding weights and add them together to obtain the collection status index S_A;

[0078] The external water intrusion index S_B is obtained by multiplying the scores of the proportion of external water in dry weather (I_B1), the proportion of sewage pump station flow increase in rainy weather (I_B2), and the proportion of COD concentration discharged from rainwater pump station into the river (I_B3) by their respective weights and adding them together.

[0079] The network defect index S_C is obtained by multiplying the score value S_C1 of the structural defect density I_C1 by the corresponding weight.

[0080] Step 4: Multiply the collection status index S_A, external water intrusion index S_B, and pipeline defect index S_C by their respective weights and add them together to obtain the comprehensive energy efficiency index SCEI for wastewater pipeline collection.

[0081] Step 5: Based on the Sewage Collection Energy Efficiency Index (SCEI), determine the energy efficiency rating of the sewage network to be evaluated.

[0082] This invention constructs a three-level evaluation system with the Sewage Network Collection Energy Efficiency Comprehensive Index (SCEI) as the target layer, the collection status index (S_A), the external water intrusion index (S_B), and the network defect index (S_C) as the criterion layers, and the regional sewage collection rate (I_A1), the water quality of sewage pumping stations during dry weather (I_A2), the proportion of external water during dry weather (I_B1), the increase ratio of sewage pumping station flow during rainy weather (I_B2), the COD concentration of rainwater pumping station discharge into the river (I_B3), and the density of structural defects (I_C1) as the indicator layers. By combining specific parameters to calculate the scores of each indicator, the Sewage Network Collection Energy Efficiency Comprehensive Index (SCEI) is finally synthesized, realizing the graded evaluation of network energy efficiency.

[0083] Target layer: Sewage collection energy efficiency index (SCEI), which comprehensively quantifies the sewage collection, pollutant transportation, and system health of the pipeline network;

[0084] Criterion Level: Based on the core influencing factors of pipeline network operation, three primary indicators are determined: collection status indicators, external water intrusion indicators, and pipeline network defect indicators.

[0085] Indicator Level: Six secondary indicators are detailed, and the key meanings of each indicator are as follows:

[0086] Regional sewage collection rate I_A1: A core indicator that reflects the sewage collection situation in the region;

[0087] Wastewater pumping station water quality I_A2 during dry weather: This examines the pollutant concentration at the end of the branch line, reflecting the leakage of the pipeline network and the dilution by external water;

[0088] The proportion of external water during dry weather (I_B1): This assesses the degree of external water intrusion, such as groundwater infiltration and river / lake water backflow.

[0089] The ratio of rainwater flow increment at sewage pumping stations, I_B2, reflects the severity of rainwater mixing into the sewage system.

[0090] COD concentration I_B3 in stormwater pumping station discharge into the river: reflects the severity of sewage mixing into the stormwater system;

[0091] Structural defect density I_C1: Based on CCTV inspection data, it characterizes defects such as pipe rupture and misalignment.

[0092] The indicator system of this invention comprehensively covers three core dimensions: collection status, external water intrusion, and pipeline defects. The calculation logic is rigorous and highly operable, applicable to the energy efficiency assessment and optimization of sewage pipelines at different scales, providing a scientific basis for pipeline operation and maintenance management.

[0093] In some embodiments, in steps 1 and 2, the regional sewage collection rate I_A1 = (sewage pump station flow rate / regional water sales volume) / [(PE-COD / SCWC) / sewage pump station COD concentration]; the values ​​involved in the formula are all annual averages, wherein the sewage pump station flow rate is obtained by a flow meter, the regional water sales volume is obtained by calculating the regional water bill, PE-COD is the per capita pollutant discharge, SCWC is the per capita comprehensive water consumption, and the sewage pump station COD concentration is obtained by periodic sampling analysis or monitoring;

[0094] When the regional sewage collection rate I_A1 ≥ 0.98, the score S_A1 is 100 points;

[0095] When 0.85 ≤ regional sewage collection rate I_A1 < 0.98, the score S_A1 is 60 + [(I_A1 - 0.85) / (0.98 - 0.85)] × 40;

[0096] When 0.7 ≤ regional sewage collection rate I_A1 < 0.85, the score S_A1 is 0 + [(I_A1 - 0.7) / (0.85 - 0.7)] × 60;

[0097] When the regional sewage collection rate I_A1 < 0.7, the score S_A1 is 0.

[0098] In some embodiments, in steps 1 and 2, the score value S_A2 of the water quality I_A2 of the dry-weather sewage pumping station is obtained using the following method:

[0099] The research calculation method is adopted, as follows:

[0100] The dry-day sewage pumping station water quality I_A2 = dry-day sewage pumping station COD concentration / pumping station water quality simulated COD concentration; where the sewage pumping station COD concentration is the annual dry-day average COD concentration of the pumping station obtained by periodic sampling analysis or monitoring, and the pumping station water quality simulated value is the pumping station influent water quality simulated by the water quality model without considering rainwater mixing.

[0101] When the water quality I_A2 of the sewage pumping station is ≥0.9 during dry weather, the score S_A2 is 100 points;

[0102] When the water quality I_A2 of the sewage pumping station in dry weather is less than 0.9 and 0.8 is less than or equal to 0.8, the score S_A2 is 60 + [(I_A2 - 0.8) / (0.9 - 0.8)] × 40;

[0103] When the water quality I_A2 of the sewage pumping station in dry weather is less than 0.8 and 0.6 is less than or equal to 0.6, the score S_A2 is 0 + [(I_A2 - 0.6) / (0.8 - 0.6)] × 60;

[0104] When the water quality I_A2 of the sewage pumping station is less than 0.6 during dry weather, the score S_A2 is 0 points.

[0105] Alternatively, a hierarchical classification method can be used, as follows:

[0106] When the water quality I_A2 of the sewage pumping station during dry weather is ≥350mg / L, the scoring value S_A2 is 100 points;

[0107] When 200 ≤ I_A2 < 350 mg / L of water quality at the sewage pumping station during dry weather, the scoring value S_A2 is 60 + [(I_A2 - 200) / (350 - 200)] × 40;

[0108] When 100 ≤ dry weather sewage pumping station water quality I_A2 < 200 mg / L, the scoring value S_A2 is 0 + [(I_A2-100) / (200-100)] × 60;

[0109] When the water quality I_A2 of the sewage pumping station is less than 100 mg / L during dry weather, the score S_A2 is 0 points.

[0110] In some embodiments, in steps 1 and 2, the proportion of external water during dry weather I_B1 = (flow rate of sewage pumping station during dry weather - amount of raw sewage in the region) / amount of raw sewage in the region; wherein, the flow rate of sewage pumping station during dry weather is the annual average value monitored by the flow meter of sewage pumping station during dry weather, and the amount of raw sewage in the region is the amount of water sold in the region × 0.9.

[0111] When the proportion of external water in dry weather is I_B1≤0.1, the score S_B1 is 100 points;

[0112] When 0.1 < the proportion of external water during dry weather I_B1 ≤ 0.5, the score S_B1 is 60 + [(0.5 - I_B1) / (0.5 - 0.1)] × 40;

[0113] When 0.5 < the proportion of external water in dry weather I_B1 ≤ 1, the score S_B1 is 0 + [(1-I_B1) / (1-0.5)] × 60;

[0114] When the proportion of external water in dry weather is greater than 1 (I_B1 > 1), the score S_B1 is 0.

[0115] In some embodiments, in steps 1 and 2, the sewage pumping station rainy day flow increment ratio I_B2 = (rainy day sewage pumping station flow / dry day sewage pumping station flow) - 1; wherein, the rainy day sewage pumping station flow is the annual average value monitored by the rainy day sewage pumping station flow meter, and the dry day sewage pumping station flow is the same as above.

[0116] When the ratio of the increase in flow rate of the sewage pumping station during rainy days is I_B2≤0.1, the score S_B2 is 100 points;

[0117] When 0.1 < the ratio of rainy day flow increment of sewage pumping station I_B2 ≤ 0.3, the score value S_B2 is 60 + [(0.3-I_B2) / (0.3-0.1)] × 40;

[0118] When 0.3 < the ratio of rainy day flow increment of sewage pumping station I_B2 ≤ 0.4, the score value S_B2 is 0 + [(0.4 - I_B2) / (0.4 - 0.3)] × 60;

[0119] When the increase in flow rate of the sewage pumping station during rainy days is greater than 0.4, the score S_B2 is 0 points.

[0120] In some embodiments, in steps 1 and 2, the score value S_B3 of the COD concentration I_B3 discharged from the stormwater pumping station is as follows, wherein the service area of ​​the stormwater pumping station should overlap with the service area of ​​the sewage pumping station, and the COD concentration discharged into the river is obtained through sampling analysis or monitoring:

[0121] When the COD concentration I_B3 discharged from the stormwater pumping station into the river is ≤20mg / L, the score S_B3 is 100 points.

[0122] When the COD concentration I_B3 discharged from the rainwater pumping station is ≤30 mg / L, the score S_B3 is 60 + [(I_B3-20) / (30-20)] × 40.

[0123] When the COD concentration I_B3 discharged from the rainwater pumping station is ≤40 mg / L, the score S_B3 is 0 + [(I_B3-30) / (40-30)] × 60.

[0124] When the COD concentration I_B3 in the rainwater pumping station discharged into the river is greater than 40 mg / L, the score S_B3 is 0 points.

[0125] In some embodiments, in steps 1 and 2, the structural defect density I_C1 = number of Class III or IV structural defects / length of the inspected pipeline (locations / km), wherein the determination of structural defects and the length of the inspected pipeline can be obtained from the pipeline inspection report;

[0126] When 0 ≤ structural defect density I_C1 < 2, the score S_C1 is 100 - [(I_C1 / 2) × 40].

[0127] When 2 ≤ structural defect density I_C1 < 10, the score S_C1 is 60 - [(I_C1-2) / (10-2)] × 60.

[0128] When the structural defect density I_C1≥10, the score S_C1 is 0.

[0129] In some embodiments, in step 3, the score S_A1 of the regional sewage collection rate I_A1 has a weight of 0.7 in the collection status index S_A.

[0130] The score S_A2 of the water quality I_A2 of the sewage pumping station in dry weather has a weight of 0.4 in the collection status index S_A.

[0131] The score S_B1 for the proportion of external water in dry weather (I_B1) has a weight of 0.3 in the external water intrusion index S_B.

[0132] The score S_B2 of the sewage pumping station's rainy day flow increment ratio I_B2 has a weight of 0.3 in the external water intrusion index S_B;

[0133] The score S_B3 of the COD concentration I_B3 discharged from the rainwater pumping station into the river has a weight of 0.4 in the external water intrusion index S_B.

[0134] The score S_C1 for structural defect density I_C1 has a weight of 1 in the pipeline defect index S_C.

[0135] In some embodiments, in step 4, the weights of the collected status index S_A, external water intrusion index S_B, and pipeline defect index S_C are all calculated using the sum-product method based on the criterion layer judgment matrix.

[0136] Furthermore, the weights of the collected status index S_A, external water intrusion index S_B, and pipeline defect index S_C have passed the consistency test and meet the requirements.

[0137] In practical applications, the criterion-level judgment matrix is ​​as follows:

[0138] index Collect status indicators External water intrusion indicators Pipeline Defect Indicators Collect status indicators 1 2 3 External water intrusion indicators 1 / 2 1 2 Pipeline Defect Indicators 1 / 3 1 / 2 1

[0139] The criterion-level judgment matrix uses the sum-product method to calculate weights. The specific steps are as follows:

[0140] 1. Normalize each column of the judgment matrix;

[0141] 2. Summing the normalized matrix row by row yields the weight vector;

[0142] 3. Normalize the weight vector to obtain the final criterion layer weights W=[0.5389,0.2972,0.1638].

[0143] The consistency test is as follows: the maximum eigenvalue λmax = 3.009, the consistency index CI = (λmax - n) / (n - 1) = 0.0045 (n = 3), the random consistency index RI = 0.58, and the consistency ratio CR = CI / RI = 0.0078 < 0.1. The consistency test is passed, ensuring that the weight allocation is scientific and reasonable.

[0144] The total weight of the indicator layer is: Total weight of the indicator layer = Weight of the corresponding criterion layer × Internal weight of the indicator within that criterion layer. The specific allocation results are shown in the table below:

[0145] Criterion layer Indicator layer (secondary indicators) Internal weights within the criterion layer Criterion layer weights Total weight of the indicator layer (proportion of the target layer) A A1. Regional sewage collection rate 0.7 0.5389 0.3772 A A2. COD concentration at sewage pumping stations during dry weather 0.3 0.5389 0.1617 B B1. Percentage of external water during dry weather 0.4 0.2972 0.1189 B B2. Sewage pumping station flow rate increase ratio during rainy days 0.3 0.2972 0.0892 B B3. COD concentration in the rainwater pumping station's discharge into the river 0.3 0.2972 0.0892 C C1. Structural defect density 1.0 0.1638 0.1638

[0146] In some embodiments, in step 5, the standard for determining the energy efficiency evaluation level of the wastewater network to be evaluated based on the Sewage Collection Energy Efficiency Index (SCEI) is as follows:

[0147] If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is ≥90, then the sewage pipe network is a Class I high-efficiency system.

[0148] If the Sewage Collection Energy Efficiency Index (SCEI) is 80 or less and the Sewage Pipeline is less than 90, then the Sewage Pipeline is a Class II normal system.

[0149] If the Sewage Collection Energy Efficiency Index (SCEI) is 60 or less and the Sewage Pipeline is less than 80, then the Sewage Pipeline is classified as a Class III inefficient system.

[0150] If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is less than 60 points, then the sewage pipe network is a Class IV failure system.

[0151] like Figure 2 As shown, the target layer of the three-level evaluation index system is the comprehensive energy efficiency index (SCEI) of sewage pipe network collection. The criteria layer includes collection status index, external water intrusion index, and pipe network defect index. The index layer includes six secondary indicators: regional sewage collection rate, COD concentration of sewage pumping stations in dry weather, proportion of external water in dry weather, increase ratio of sewage pumping station flow in rainy weather, COD concentration of rainwater pumping station discharged into the river, and density of structural defects.

[0152] like Figure 1 As shown, the weights of the criterion layer are determined using the analytic hierarchy process (AHP): a criterion layer judgment matrix is ​​constructed, and the weights are calculated using the sum-product method. The weights are then tested using the maximum eigenvalue, consistency index (CI), random consistency index (RI), and consistency ratio (CR) to ensure the scientific nature of the weight allocation. A CR < 0.1 indicates that the consistency test is passed.

[0153] Based on the weights of the indicator layers and the scores of each indicator, the total score of the criterion layer and the SCEI of the target layer are synthesized, and the energy efficiency of the pipeline network is evaluated according to the preset level standards.

[0154] Example 2: Taking a specific wastewater branch line as an example, the energy efficiency of this invention is evaluated using the method of this invention:

[0155] (1) Obtain actual operating data:

[0156] - Wastewater centralized collection rate (I_A1) = 89.47%.

[0157] - COD concentration (I_A2) at the sewage pumping station during dry weather = 199.53 mg / L.

[0158] - The percentage of external water during dry weather (I_B1) = 28.84%.

[0159] - The ratio of rainy day flow increment at the sewage pumping station (I_B2) is 15.65%.

[0160] - The COD concentration (I_B3) discharged from the rainwater pumping station into the river is 40 mg / L.

[0161] -Structural defect density (I_C1) = 1 defect / km.

[0162] (2, 3) Calculate the scores for each indicator:

[0163] -S_A1=56.88 points, S_A2=59.72 points, S_A=0.7×56.88+0.3×59.72=57.73 points.

[0164] -S_B1=81.16 points, S_B2=88.69 points, S_B3=53.40 points.

[0165] S_B = 0.4 × 81.16 + 0.3 × 88.69 + 0.3 × 53.40 = 75.03 points.

[0166] -S_C1=80.00 points, S_C=80.00 points.

[0167] (4) Calculate SCEI: SCEI = 57.73 × 0.5389 + 75.03 × 0.2972 + 80.00 × 0.1638 = 75.52 points.

[0168] (5) Evaluation result: SCEI=75.52 points, belonging to level III, and judged as an inefficient system.

[0169] The preferred embodiments of the present invention have been described in detail above. It should be understood that those skilled in the art can make numerous modifications and variations based on the concept of the present invention without creative effort. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning, or limited experimentation on the basis of existing technology should be within the scope of protection defined by the claims.

Claims

1. A method for evaluating the energy efficiency of sewage pipe network collection; characterized in that, Includes the following steps: Step 1: Calculate the regional sewage collection rate I_A1, the water quality of the sewage pumping station in dry weather I_A2, the proportion of external water in dry weather I_B1, the increase ratio of sewage pumping station flow in rainy weather I_B2, the COD concentration of rainwater pumping station discharged into the river I_B3, and the density of structural defects I_C1 for the sewage network to be evaluated. Step 2: Scoring is performed based on the values ​​of the regional sewage collection rate I_A1, the water quality of the sewage pumping station during dry weather I_A2, the proportion of external water during dry weather I_B1, the increase ratio of sewage pumping station flow during rainy weather I_B2, the COD concentration of rainwater pumping station discharge into the river I_B3, and the density of structural defects I_C1. The following scores are obtained: the regional sewage collection rate I_A1 score S_A1, the dry-day sewage pumping station water quality score I_A2 score S_A2, the dry-day external water ratio score I_B1 score S_B1, the sewage pumping station rainy-day flow increment ratio score S_B2, the rainwater pumping station discharge COD concentration score I_B3 score S_B3, and the structural defect density score S_C1. Step 3: Multiply the score S_A1 of the regional sewage collection rate I_A1 and the score S_A2 of the dry weather sewage pumping station water quality I_A2 by the corresponding weights and add them together to obtain the collection status index S_A; The external water intrusion index S_B is obtained by multiplying the score value S_B1 of the dry day external water ratio I_B1, the score value S_B2 of the sewage pumping station rainy day flow increment ratio I_B2, and the score value S_B3 of the rainwater pumping station discharge COD concentration I_B3 by the corresponding weights and adding them together. The score S_C1 of the structural defect density I_C1 is multiplied by the corresponding weight to obtain the pipeline defect index S_C; Step 4: Multiply the collection status index S_A, the external water intrusion index S_B, and the pipeline defect index S_C by their respective weights and add them together to obtain the comprehensive energy efficiency index SCEI of the sewage pipeline network collection. Step 5: Based on the Sewage Network Collection Energy Efficiency Comprehensive Index (SCEI), form the energy efficiency evaluation level of the sewage network to be evaluated.

2. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In steps 1 and 2, the regional wastewater collection rate I_A1 = (regional transfer facility flow rate / regional water sales volume) / [(PE-COD / SCWC) / CODin]; where PE-COD is the per capita pollutant discharge, SCWC is the per capita comprehensive water consumption, and CODin is the COD concentration of the transfer facility. When the wastewater collection rate I_A1 in the area is ≥0.98, the score S_A1 is 100 points; When 0.85 ≤ the wastewater collection rate I_A1 < 0.98, the score S_A1 is 60 + [(I_A1 - 0.85) / (0.98 - 0.85)] × 40; When 0.7 ≤ the wastewater collection rate I_A1 < 0.85, the score S_A1 is 0 + [(I_A1 - 0.7) / (0.85 - 0.7)] × 60; When the wastewater collection rate I_A1 in the area is less than 0.7, the score S_A1 is 0.

3. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In steps 1 and 2, the water quality score S_A2 of the dry-weather sewage pumping station is obtained using the following method: The research calculation method is adopted, as follows: The dry-weather sewage pumping station water quality I_A2 = pumping station water quality sampling data / pumping station water quality simulation data; When the water quality I_A2 of the sewage pumping station in dry weather is ≥0.9, the score S_A2 is 100 points; When 0.8 ≤ the water quality I_A2 of the dry-weather sewage pumping station < 0.9, the scoring value S_A2 is 60 + [(I_A2 - 0.8) / (0.9 - 0.8)] × 40; When 0.6 ≤ the water quality I_A2 of the dry-weather sewage pumping station < 0.8, the scoring value S_A2 is 0 + [(I_A2 - 0.6) / (0.8 - 0.6)] × 60; When the water quality I_A2 of the sewage pumping station during dry weather is <0.6, the scoring value S_A2 is 0 points; Alternatively, a hierarchical classification method can be used, as follows: When the water quality I_A2 of the dry weather sewage pumping station is ≥350mg / L, the scoring value S_A2 is 100 points; When 200 ≤ the water quality I_A2 of the dry weather sewage pumping station is < 350 mg / L, the scoring value S_A2 is 60 + [(I_A2-200) / (350-200)] × 40; When 100 ≤ the water quality I_A2 of the dry weather sewage pumping station is < 200 mg / L, the scoring value S_A2 is 0 + [(I_A2-100) / (200-100)] × 60; When the water quality I_A2 of the sewage pumping station during dry weather is <100mg / L, the scoring value S_A2 is 0 points.

4. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In steps 1 and 2, the dry weather external water ratio I_B1 = (dry weather regional transfer facility flow rate - regional raw sewage volume) / regional raw sewage volume; When the proportion of external water in dry weather I_B1 ≤ 0.1, the score S_B1 is 100 points; When 0.1 < the proportion of external water in dry weather I_B1 ≤ 0.5, the score S_B1 is 60 + [(0.5 - I_B1) / (0.5 - 0.1)] × 40; When 0.5 < the proportion of external water in dry weather I_B1 ≤ 1, the score S_B1 is 0 + [(1-I_B1) / (1-0.5)] × 60; When the proportion of external water in dry weather is greater than 1 (I_B1 > 1), the score S_B1 is 0.

5. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In steps 1 and 2, the sewage pumping station's rainy day flow increment ratio I_B2 = (rainy day regional transfer facility flow / dry day regional transfer facility flow) - 1; When the ratio of the increase in flow rate during rainy days at the sewage pumping station is I_B2≤0.1, the score S_B2 is 100 points; When 0.1 < the rainy day flow increment ratio I_B2 of the sewage pumping station is ≤0.3, the score value S_B2 is 60 + [(0.3-I_B2) / (0.3-0.1)] × 40; When the ratio of the sewage pumping station's rainy day flow increment I_B2 ≤ 0.4, the score S_B2 is 0 + [(0.4 - I_B2) / (0.4 - 0.3)] × 60; When the rainy day flow increment ratio I_B2 of the sewage pumping station is greater than 0.4, the score S_B2 is 0 points.

6. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In steps 1 and 2, the scoring value S_B3 of the COD concentration I_B3 discharged from the rainwater pumping station is as follows: When the COD concentration I_B3 discharged from the rainwater pumping station into the river is ≤20mg / L, the scoring value S_B3 is 100 points. When the COD concentration I_B3 discharged from the rainwater pumping station is ≤30mg / L, the score S_B3 is 60+[(I_B3-20) / (30-20)]×40. When the COD concentration I_B3 discharged from the rainwater pumping station is ≤40 mg / L, the score S_B3 is 0 + [(I_B3-30) / (40-30)] × 60. When the COD concentration I_B3 in the rainwater pumping station discharged into the river is greater than 40 mg / L, the score S_B3 is 0 points.

7. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In steps 1 and 2, the structural defect density I_C1 = number of Class III or IV structural defects / length of the inspected pipeline (locations / km). When 0 ≤ the structural defect density I_C1 < 2, the score S_C1 is 100 - [(I_C1 / 2) × 40]. When 2 ≤ the structural defect density I_C1 < 10, the score S_C1 is 60 - [(I_C1 - 2) / (10 - 2)] × 60. When the structural defect density I_C1 ≥ 10, the score S_C1 is 0.

8. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In step 3, the score S_A1 of the regional sewage collection rate I_A1 has a weight of 0.7 in the collection status index S_A. The water quality score S_A2 of the dry weather sewage pumping station has a weight of 0.4 in the collection status index S_A. The score S_B1 for the proportion of external water in dry weather I_B1 has a weight of 0.3 in the external water intrusion index S_B. The score S_B2 of the sewage pumping station's rainy day flow increment ratio I_B2 has a weight of 0.3 in the external water intrusion index S_B. The score S_B3 of the COD concentration I_B3 discharged from the rainwater pumping station has a weight of 0.4 in the external water intrusion index S_B. The score S_C1 of the structural defect density I_C1 has a weight of 1 in the pipeline defect index S_C.

9. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In step 4, the weights of the collection status index S_A, the external water intrusion index S_B, and the pipeline defect index S_C are all calculated using the sum-product method based on the criterion layer judgment matrix. Furthermore, the weights of the collection status index S_A, the external water intrusion index S_B, and the pipeline defect index S_C meet the requirements after consistency verification.

10. The method for evaluating the energy efficiency of sewage pipe network collection according to claim 1, characterized in that, In step 5, the standard for determining the energy efficiency evaluation level of the wastewater network to be evaluated based on the Sewage Network Collection Energy Efficiency Index (SCEI) is as follows: If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is ≥90, then the sewage pipe network is a Class I high-efficiency system. If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is 80 ≤ SCEI < 90, then the sewage pipe network is a Class II normal system. If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is 60 ≤ SCEI < 80, then the sewage pipe network is a Class III inefficient system. If the comprehensive energy efficiency index (SCEI) of the sewage pipe network is less than 60, then the sewage pipe network is a Class IV failure system.

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